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Model containing both proportional and additive error

[Generated automatically as a Tutorial summary]

Model Description

Name:pa_gen_pa_fit
Title:Model containing both proportional and additive error
Author:PoPy for PK/PD
Abstract:
One compartment model with a depot leading to a central compartment.
This model contains both proportional and additive error.
Keywords:one compartment model; one_two_cmp_cl; proportional and additive error
Input Script:pa_tut.pyml
Diagram:

Comparison

True objective value

-395.5169

Final fitted objective value

-396.6598

Compare Main f[X]

No Main f[X] values to compare.

Compare Noise f[X]

Name Initial Fitted True Abs. Error Prop. Error
f[PNOISE_STD] 0.5 0.0951 0.1 4.91e-03 4.91%
f[ANOISE_STD] 0.25 0.0453 0.05 4.68e-03 9.36%

Compare Variance f[X]

No Variance f[X] values to compare.

Outputs

Fitted f[X] values (after fitting)

f[PNOISE_STD] = 0.0951
f[ANOISE_STD] = 0.0453

Generated data .csv file

Synthetic Data:synthetic_data.csv

Inputs

True f[X] values (for simulation)

f[PNOISE_STD] = 0.1000
f[ANOISE_STD] = 0.0500

Starting f[X] values (before fitting)

f[PNOISE_STD] = 0.5000
f[ANOISE_STD] = 0.2500
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